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Research on the Measurement of New Economic Kinetic Energy under the New Development Pattern: Based on the Yangtze River Delta Region Data
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Qingqing WU1, Hairong CHENG2
Science Technology and Industry | 2025, 25(6) : 164 - 170
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Science Technology and Industry | 2025, 25(6): 164-170
• Regional Practice •
Research on the Measurement of New Economic Kinetic Energy under the New Development Pattern: Based on the Yangtze River Delta Region Data
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Qingqing WU1, Hairong CHENG2
Affiliations
  • 1 School of Big Data and Artificial Intelligence, Chizhou University, Chizhou 247000, Anhui, China
  • 2 School of Mathematics and Science, Shanghai Normal University, Shanghai 200233, China
Published: 2025-03-25
Outline
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Under the background of a new development pattern, based on the five dimensions of innovation driven, digital economy, industrial transformation, green development and open development, select the relevant data of 41 urban agglomerations in the Yangtze River Delta from 2011 to 2020.Through cluster analysis and visualization, reflecting the development level of new economic drivers in urban agglomerations from different dimensions, and then a panel data model was constructed, taking per capital GDP as the explanatory variable and the level of new economic drivers as the explanatory variable, to explore the marginal impact of new economic momentum on economic growth in the Yangtze River Delta region. Finally, some constructive suggestions are put forward from the perspective of high-quality regional economic development.

new economic driving force  /  entropy method  /  spatial agglomeration  /  panel data
吴青青, 程海容. 新发展格局下经济新动能的测度研究——以长三角地区为例. 科技和产业, 2025 , 25 (6) : 164 -170 .
Qingqing WU, Hairong CHENG. Research on the Measurement of New Economic Kinetic Energy under the New Development Pattern: Based on the Yangtze River Delta Region Data[J]. Science Technology and Industry, 2025 , 25 (6) : 164 -170 .
Year 2025 volume 25 Issue 6
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320
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  • Receive Date:2024-07-10
  • Online Date:2025-07-21
  • Published:2025-03-25
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  • Received:2024-07-10
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Affiliations
    1 School of Big Data and Artificial Intelligence, Chizhou University, Chizhou 247000, Anhui, China
    2 School of Mathematics and Science, Shanghai Normal University, Shanghai 200233, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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